The locus of innovation is shifting from the firm to the network. In contrast to developing standalone products, innovators are drawing together networks that deliver a personalized, co-created experience to the customer. This chapter describes a model in which nodal firms link communities of customers with communities of prequalified vendors. It examines cases from cardiac pacemakers to addressing diabetes and explores the implications of this shift for product and service innovation, value creation, and new sources of competitive advantage.

Social networks and word-of-mouth marketing are increasingly important, yet few current practices are based on a deep understanding of how the structure of networks can affect customer behavior and marketing outcomes. This chapter offers some critical observations on current word-of-mouth marketing practices and identifies four key questions that managers need to ask themselves before engaging in campaigns designed to leverage customer networks: Can we be confident that interpersonal influence or social contagion is really important? Why exactly would social contagion occur? Should we target key influentials? Can we identify and target those influentials? The answers to these questions cannot be taken for granted.

In an environment of rapid and discontinuous change, managers have turned to alliances to access the resources they need. But research on alliances shows that more than half fail, demonstrating the difficulty of managing these relationships. Based on their extensive research on alliances, the authors explore the relational capabilities needed for building and managing successful alliances. Using the case of Royal Philips, they explore the role of strategy, structure, systems, people, and culture in alliance success. They also discuss the need for ongoing adaptation and renewal of relational capabilities as the business and its environment change.

Human knowledge and traditions can persist long after their relevance disappears, particularly in an environment of rapid change. Organizational routines often continue in force long after memory of their purpose has been lost. But memory is rarely lost entirely. It usually lingers, in distributed fragments, in an organization’s social networks and can, when needed, be reassembled. This chapter examines the role of such networks in the process of memory loss and recovery.

Networks increase interdependencies, which creates challenges for managing risks. This is especially apparent in areas such as security and enterprise risk management, where the actions of a single player in an interconnected network can wreak havoc on everyone in the network. The network, in this case, is only as strong as its weakest link. There are related problems in encouraging investments for prevention and protection, because the expected payoffs from such measures by one player are affected by the actions of other players in the network. This chapter examines the challenges of interdependent security (IDS) and strategies for addressing these, including coordination with broader networks such as industry organizations and government.

Telecommunications is a networked business, yet it traditionally has resisted a network-based view in its strategies and business models. In this chapter, Kevin Werbach explores this paradox, contrasting the worldview of Monists such as AT&T, who see the infrastructure as inseparable from the network, and Dualists such as Google, who see the network and its applications as distinct from the underlying infrastructure. Not surprisingly, AT&T is a proponent of “tiered access” whereas Google argues for “network neutrality.” Finally, Werbach examines how a more modular future might bridge the gap between those who seek to own and capitalize on the network and those who seek to expand it through more neutral offerings.

Modern financial systems exhibit a high degree of interdependence, with connections between financial institutions stemming from both the asset and the liability sides of their balance sheets. Networks--broadly understood as a collection of nodes and links between nodes--can be a useful representation of financial systems. By modeling economic interactions, network analysis can better explain certain economic phenomena. In this chapter, Allen and Babus argue that the use of network theories can enrich our understanding of financial systems. They explore several critical issues. First, they address the issue of systemic risk, by studying two questions: how resilient financial networks are to contagion, and how financial institutions form connections when exposed to the risk of contagion. Second, they consider how network theory can be used to explain freezes in the interbank market. Third, they examine how social networks can improve investment decisions and corporate governance, based on recent empirical results. Fourth, they examine the role of networks in distributing primary issues of securities. Finally, they consider the role of networks as a form of mutual monitoring, as in microfinance.